"Furry Wolf Candy": neural network invents fursona names

Can a computer dream of being a human? What if it dreamed of being a human who dreamed of being a talking animal? With the help of Janelle Shane, a research scientist in photonics, we may just find out what furry aliases such a machine would create.

Results

The two variables that most substantially affected the results were (a) the number of times the neural network processed the list; and (b) the "temperature", a measure of creativity that ranges from 0 (uncreative) to 1 (daring). She provided the results of eight stages of name generation. Here are, in my sole opinion, five of the best from each.

With few iterations and low creativity, the neural network latched onto the word "Shadow" and wouldn't let go:

Mitter Starker

Shadow Stone

Shadow Fox

Shadow Shepherd

Mark Starles

Animal names started to emerge with creativity turned up, but it's still kind of a letter salad:

Alix Roo

Lack Black

Kari Baller

Marthel Dragon

Moully Silversanper SilverMox

With more experience and low creativity, it's come to recognize a fair number of first names.

Shadow (person)

Sandy Fox

Ron Steel

Alex Steelen

Silver Fox

Now, turn up the creativity.

Shadow Winger

Red Husky

Ame A. Wolfn

Porain

Solding Wolf

At this point, she left the creativity up and just kept giving it more "experience".

DragonPund

Farawind

Rongs Mittle

Furry Wolf Candy

Chewings

...and more...

Pandy the Cheetah

Alica Wolfe

Sparky Furry

Rock Pup

Dalack Golf Fox

...and more. Here it seemed to go a bit off the rails.

Smick the Blue Fox

Kuryd Harshain

Spectwolphes

Ferris Paws

LionVootion

...but righted itself, sort of. Still fixated on "Shadow", by the way.

Chair Coyote

Snarky Wolf

Shadow Le Bartley

Scott Whitefox

Coontain

So — what do you think "Furry Wolf Candy" (or any of the other generated names) would look like? If any of these fursonas tickles your artistic fancy, please tweet your artwork with the hashtag #furralnetwork. After all, it is the neural network's birthday and they can't afford commissions.

Except maybe the second last set, those are all completely believable and I would never have guessed they were generated and not made by actual furs.

"If all mankind minus one, were of one opinion, and only one person were of the contrary opinion, mankind would be no more justified in silencing that one person, than he, if he had the power, would be justified in silencing mankind."
~John Stuart Mill~

With Dr. Janelle's consent, here's the full output (with her explanation of the neural network's settings).

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Quick note of explanation: epochX.XX_Y.YYYY

X.XX is how many times through the training data set we've cycled
Y.YYYY is how good the neural network thinks its results are. Lower numbers are better.
temperature is creativity level. 0.1 shows you the most cautious results, while numbers nearer 1 are more creative.